Triple
T36260128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motagua reserves |
E892057
|
entity |
| Predicate | reservesFor |
P1642
|
FINISHED |
| Object | F.C. Motagua first team |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: F.C. Motagua first team | Statement: [Motagua reserves, reservesFor, F.C. Motagua first team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservesFor Context triple: [Motagua reserves, reservesFor, F.C. Motagua first team]
-
A.
reservedFor
Indicates that something is set aside or allocated specifically for the use, benefit, or purpose of a particular entity or group.
-
B.
reserves
chosen
Indicates that an entity has arranged in advance to hold or secure something for future use or access.
-
C.
reservesCasesFor
Indicates that an entity allocates or sets aside specific cases for another entity’s use, handling, or attention.
-
D.
someReservesDesignatedAs
Indicates that at least one portion of an entity’s reserves is formally designated or classified in a specified way.
-
E.
mainReserve
Indicates that one entity serves as the primary or main reserve resource, backup, or store for another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b600ff008190a9358927477ddb6a |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.